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This document discusses a voice recognition application for Android Wear that allows users to interact with their smartwatch using voice commands instead of touch. The application was developed using Java programming on the Android Wear platform and allows users to interact with text, audio, images and other elements on their smartwatch through voice instead of touchscreen input.

Education

APLIKASI INTERAKSI DENGAN SUARA
(VOICE RECOGNITION) PADA ANDROID WEAR
Noer Rhiannah – Elok Fitrotul F – Laras Intansari

Elemen Multimedia Text Audio Image Interaction [touch]
Programming Platform Android Watch
Language Java

Speed and agility in finance and banking is essential in executing a successful trade. In modern banking systems, including algorithmic and high frequency trading platforms, high speed networks communicate timely market data and liquidity information and carry execution instructions to trading venues and counterparties. Suboptimal networks, protocol stacks and applications can easily result in a financial impact when execution instructions are delayed or are based on stale market data. This talk suggest optimisation opportunities in computer networks and introduces performant banking systems.

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